Work directly with clients to solve integration challenges, troubleshoot sync issues, and clarify workflows.
Write and debug Python scripts to handle client-specific needs, data transformations, and automation tasks.
Support workflow automation and integration extensions using tools like n8n, Zapier, or similar platforms .
Partner with the Customer Success onboarding team during client rollouts, providing technical guidance and hands-on support.
Collaborate with the Engineering team on complex bugs, unusual edge cases, or new integration requests.
Help clients explore how AI features can be used within their workflows (e.g. document parsing, smart data checks, automated insights).
Document client scenarios, technical solutions, and best practices for both internal and external use.
Act as the bridge between customers and internal teams, ensuring client feedback informs product improvements.

Bachelor’s degree in Computer Science, IT, Engineering, or equivalent experience.
Strong knowledge of Python — must be comfortable writing, debugging, and deploying scripts for automation and integrations.
2+ years of experience in technical support, integration support, or solutions engineering for SaaS/ERP platforms.
Solid understanding of APIs (REST/JSON, OAuth), authentication, and data formats (CSV, XML, JSON).
Experience working with accounting/ERP platforms (Xero, MYOB, QuickBooks) .
Strong problem-solving and analytical skills.
Excellent communication skills with the ability to explain technical solutions to non-technical users.

Customer Support Engineer

Key skills